AIMC Topic: Biological Evolution

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Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning.

PeerJ Oct 11, 2023
Fossil identification is an essential and fundamental task for conducting palaeontological research. Because the manual identification of fossils requires extensive experience and is time-consuming, automatic identification methods are proposed. Howe...
Animals Deep Learning Bivalvia Biological Evolution Invertebrates Fossils
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EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification.

Neural networks : the official journal of the International Neural Network Society Sep 29, 2023
Quantum neural network (QNN) is a neural network model based on the principles of quantum mechanics. The advantages of faster computing speed, higher memory capacity, smaller network size and elimination of catastrophic amnesia make it a new idea to ...
Neural Networks, Computer Algorithms Rotation Biological Evolution
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Synergetic learning for unknown nonlinear H control using neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2023
The well-known H control design gives robustness to a controller by rejecting perturbations from the external environment, which is difficult to do for completely unknown affine nonlinear systems. Accordingly, the immediate objective of this paper is...
Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics Biological Evolution
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Harnessing deep learning for population genetic inference.

Nature reviews. Genetics Sep 4, 2023
In population genetics, the emergence of large-scale genomic data for various species and populations has provided new opportunities to understand the evolutionary forces that drive genetic diversity using statistical inference. However, the era of p...
Deep Learning Genomics Genome Biological Evolution Genetics, Population
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Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity.

PloS one Aug 31, 2023
Several studies demonstrate that the structure of the brain increases in hierarchical complexity throughout development. We tested if the structure of artificial neural networks also increases in hierarchical complexity while learning a developing ta...
Neural Networks, Computer Brain Computer Simulation Biological Evolution Records
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Technology Trends for Massive MIMO towards 6G.

Sensors (Basel, Switzerland) Jun 30, 2023
At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) in combination with leading-edge technologies, methodologies, and architectures are poised to be a cornerstone technology. Capitalizing on...
Artificial Intelligence Technology Communication Intelligence Biological Evolution
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The morphological paradigm in robotics.

Studies in history and philosophy of science Jun 2, 2023
In the paper, we are going to show how robotics is undergoing a shift in a bionic direction after a period of emphasis on artificial intelligence and increasing computational efficiency, which included isolation and extreme specialization. We assembl...
Artificial Intelligence Robotics Bionics Biological Evolution
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SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data.

BMC bioinformatics May 23, 2023
BACKGROUND: Structural variations (SVs) refer to variations in an organism's chromosome structure that exceed a length of 50 base pairs. They play a significant role in genetic diseases and evolutionary mechanisms. While long-read sequencing technolo...
Deep Learning Biological Evolution
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A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.

BMC bioinformatics May 15, 2023
BACKGROUND: There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transparency and explainability, whi...
Humans Neoplasms Deep Learning Biology Medical Oncology Biological Evolution
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Jumping over fences: why field- and laboratory-based biomechanical studies can and should learn from each other.

The Journal of experimental biology Apr 20, 2023
Locomotor biomechanics faces a core trade-off between laboratory-based and field-based studies. Laboratory conditions offer control over confounding factors, repeatability, and reduced technological challenges, but limit the diversity of animals and ...
Biomechanical Phenomena Animals Ecosystem Robotics Ecology Locomotion Biological Evolution
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